Train agents for reliability
Post-train LLMs with serverless reinforcement learning so agents handle multi-turn tasks reliably. Keep control of rollouts, environments, rewards, and hyperparameters while the infrastructure manages itself.
Run agents with production inference
Run inference workloads that stay stable as traffic, model size, and concurrency grow. Keep control over GPU type, runtime, and capacity model without standing up bespoke inference infrastructure.
Observe and improve agents in production
Help production agents continuously learn and improve from real-world experience with W&B Weave, so your agents achieve and maintain reliable quality. Weave provides end-to-end observability to monitor agents, out-of-the-box signals to surface failure modes, and a flexible evaluation framework to prevent regressions.
Autonomous improvement
CoreWeave ARIA (AI Research & Iteration Agent) is an AI research agent built directly into Weights & Biases with deep knowledge of the platform. It understands your experiments, builds live visualizations to support its analysis, and has full project context from the moment you start a conversation. Together, these capabilities enable a complete autoresearch loop, from analyzing results and generating hypotheses to launching the next experiment and evaluating the outcomes, continuously improving model and agent performance.
